Overview

Dataset statistics

Number of variables19
Number of observations2414
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory360.7 KiB
Average record size in memory153.0 B

Variable types

DateTime1
TimeSeries15
Boolean1
Numeric2

Timeseries statistics

Number of series15
Time series length2414
Starting point2010-01-26 00:00:00
Ending point2019-08-29 00:00:00
Period1 day, 10 hours and 49 minutes
2026-02-05T23:22:00.579441image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:22:00.987970image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Alerts

repaired? has constant value "False"Constant
AD is highly overall correlated with OBVHigh correlation
ATR is highly overall correlated with TRANGEHigh correlation
CMO is highly overall correlated with MFI and 2 other fieldsHigh correlation
EMA is highly overall correlated with KAMA and 6 other fieldsHigh correlation
KAMA is highly overall correlated with EMA and 6 other fieldsHigh correlation
MA is highly overall correlated with EMA and 6 other fieldsHigh correlation
MFI is highly overall correlated with CMO and 2 other fieldsHigh correlation
MidPrice is highly overall correlated with EMA and 6 other fieldsHigh correlation
NATR is highly overall correlated with EMA and 7 other fieldsHigh correlation
OBV is highly overall correlated with AD and 1 other fieldsHigh correlation
ROC is highly overall correlated with CMO and 2 other fieldsHigh correlation
TRANGE is highly overall correlated with ATRHigh correlation
TSF is highly overall correlated with EMA and 6 other fieldsHigh correlation
WILLR is highly overall correlated with CMO and 2 other fieldsHigh correlation
WMA is highly overall correlated with EMA and 6 other fieldsHigh correlation
close is highly overall correlated with EMA and 6 other fieldsHigh correlation
close is non stationaryNon stationary
MA is non stationaryNon stationary
EMA is non stationaryNon stationary
KAMA is non stationaryNon stationary
WMA is non stationaryNon stationary
MidPrice is non stationaryNon stationary
AD is non stationaryNon stationary
OBV is non stationaryNon stationary
NATR is non stationaryNon stationary
TSF is non stationaryNon stationary
close is seasonalSeasonal
MA is seasonalSeasonal
EMA is seasonalSeasonal
KAMA is seasonalSeasonal
WMA is seasonalSeasonal
MidPrice is seasonalSeasonal
AD is seasonalSeasonal
OBV is seasonalSeasonal
NATR is seasonalSeasonal
Date has unique valuesUnique
EMA has unique valuesUnique
KAMA has unique valuesUnique
WMA has unique valuesUnique
MFI has unique valuesUnique
ROC has unique valuesUnique
NATR has unique valuesUnique
ATR has unique valuesUnique
TSF has unique valuesUnique

Reproduction

Analysis started2026-02-05 23:21:32.315123
Analysis finished2026-02-05 23:22:00.288162
Duration27.97 seconds
Software versionydata-profiling vv4.18.1
Download configurationconfig.json

Variables

Date
Date

Unique 

Distinct2414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size37.7 KiB
Minimum2010-01-26 00:00:00
Maximum2019-08-29 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2026-02-05T23:22:01.248971image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:22:01.372499image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

close
Numeric time series

High correlation  Non stationary  Seasonal 

Distinct2045
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.016955
Minimum26.209999
Maximum113.93
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:22:01.520081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum26.209999
5-th percentile42.085999
Q151.915
median73.454998
Q393.959999
95-th percentile104.7315
Maximum113.93
Range87.720001
Interquartile range (IQR)42.044999

Descriptive statistics

Standard deviation22.137779
Coefficient of variation (CV)0.30318683
Kurtosis-1.3943801
Mean73.016955
Median Absolute Deviation (MAD)21.045
Skewness-0.022064051
Sum176262.93
Variance490.08125
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.6143393522
2026-02-05T23:22:01.649992image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:22:02.010127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 10 minutes
std8 hours, 16 minutes and 22.04 seconds
2026-02-05T23:22:03.151469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
44.659999856
 
0.2%
53.900001534
 
0.2%
93.959999084
 
0.2%
52.139999393
 
0.1%
81.253
 
0.1%
45.880001073
 
0.1%
55.259998323
 
0.1%
97.010002143
 
0.1%
103.30999763
 
0.1%
47.639999393
 
0.1%
Other values (2035)2379
98.6%
ValueCountFrequency (%)
26.209999081
< 0.1%
26.549999241
< 0.1%
27.450000761
< 0.1%
27.940000531
< 0.1%
28.459999081
< 0.1%
29.040000921
< 0.1%
29.420000081
< 0.1%
29.440000531
< 0.1%
29.530000691
< 0.1%
29.639999391
< 0.1%
ValueCountFrequency (%)
113.93000031
< 0.1%
113.51999661
< 0.1%
112.86000061
< 0.1%
112.79000091
< 0.1%
112.76000211
< 0.1%
112.29000091
< 0.1%
112.27999881
< 0.1%
112.20999911
< 0.1%
111.44999691
< 0.1%
111.05000311
< 0.1%
2026-02-05T23:22:01.774994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

repaired?
Boolean

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
False
2414 
ValueCountFrequency (%)
False2414
100.0%
2026-02-05T23:22:03.808282image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

MA
Numeric time series

High correlation  Non stationary  Seasonal 

Distinct2392
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.056978
Minimum29.173
Maximum112.159
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:22:03.906511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum29.173
5-th percentile42.08495
Q151.822501
median73.617
Q394.245499
95-th percentile104.74255
Maximum112.159
Range82.985999
Interquartile range (IQR)42.422998

Descriptive statistics

Standard deviation22.060947
Coefficient of variation (CV)0.30196907
Kurtosis-1.4066446
Mean73.056978
Median Absolute Deviation (MAD)21.19
Skewness-0.030066467
Sum176359.54
Variance486.6854
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.4656140021
2026-02-05T23:22:04.035549image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:22:04.390033image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 10 minutes
std8 hours, 16 minutes and 22.04 seconds
2026-02-05T23:22:05.534604image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
99.958998872
 
0.1%
53.038000112
 
0.1%
47.597000122
 
0.1%
46.659999852
 
0.1%
99.216000372
 
0.1%
74.743999482
 
0.1%
96.27300112
 
0.1%
88.816000372
 
0.1%
58.451000212
 
0.1%
49.047999952
 
0.1%
Other values (2382)2394
99.2%
ValueCountFrequency (%)
29.173000141
< 0.1%
29.232000161
< 0.1%
29.381000141
< 0.1%
29.450000191
< 0.1%
29.45399991
< 0.1%
29.531999971
< 0.1%
29.711999891
< 0.1%
29.871000291
< 0.1%
30.001999861
< 0.1%
30.005999951
< 0.1%
ValueCountFrequency (%)
112.15899961
< 0.1%
112.051
< 0.1%
111.6571
< 0.1%
111.27100071
< 0.1%
110.99400021
< 0.1%
110.68900071
< 0.1%
110.11400071
< 0.1%
109.48300021
< 0.1%
109.46300051
< 0.1%
109.28500061
< 0.1%
2026-02-05T23:22:04.156643image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

EMA
Numeric time series

High correlation  Non stationary  Seasonal  Unique 

Distinct2414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.059109
Minimum29.287779
Maximum111.98617
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:22:06.261624image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum29.287779
5-th percentile42.329896
Q151.792551
median73.679826
Q394.328382
95-th percentile104.58693
Maximum111.98617
Range82.698395
Interquartile range (IQR)42.535831

Descriptive statistics

Standard deviation22.028024
Coefficient of variation (CV)0.30150962
Kurtosis-1.4132704
Mean73.059109
Median Absolute Deviation (MAD)21.116405
Skewness-0.031550193
Sum176364.69
Variance485.23385
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5796125666
2026-02-05T23:22:06.393792image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:22:06.751991image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 10 minutes
std8 hours, 16 minutes and 22.04 seconds
2026-02-05T23:22:07.732668image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
77.385473811
 
< 0.1%
76.709932791
 
< 0.1%
76.151763081
 
< 0.1%
75.558715141
 
< 0.1%
75.353494261
 
< 0.1%
75.694677731
 
< 0.1%
75.92837331
 
< 0.1%
75.421396221
 
< 0.1%
74.65205191
 
< 0.1%
74.149860531
 
< 0.1%
Other values (2404)2404
99.6%
ValueCountFrequency (%)
29.287778661
< 0.1%
29.321249231
< 0.1%
29.342840381
< 0.1%
29.537273421
< 0.1%
29.739331751
< 0.1%
29.761405611
< 0.1%
30.012638151
< 0.1%
30.05581681
< 0.1%
30.385668451
< 0.1%
30.422970081
< 0.1%
ValueCountFrequency (%)
111.98617381
< 0.1%
111.81596091
< 0.1%
111.64532431
< 0.1%
111.3476041
< 0.1%
111.13761851
< 0.1%
110.75486691
< 0.1%
110.30928131
< 0.1%
109.88689961
< 0.1%
109.35509981
< 0.1%
109.24804021
< 0.1%
2026-02-05T23:22:06.518576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

KAMA
Numeric time series

High correlation  Non stationary  Seasonal  Unique 

Distinct2414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.835755
Minimum28.98641
Maximum110.50473
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:22:08.463406image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum28.98641
5-th percentile41.890567
Q151.578496
median73.312336
Q394.670893
95-th percentile105.10334
Maximum110.50473
Range81.51832
Interquartile range (IQR)43.092396

Descriptive statistics

Standard deviation22.155904
Coefficient of variation (CV)0.30418994
Kurtosis-1.398257
Mean72.835755
Median Absolute Deviation (MAD)21.465313
Skewness-0.023545884
Sum175825.51
Variance490.88408
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5688099271
2026-02-05T23:22:08.611594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:22:09.177397image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 10 minutes
std8 hours, 16 minutes and 22.04 seconds
2026-02-05T23:22:10.159795image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
75.949905411
 
< 0.1%
75.448458091
 
< 0.1%
75.088957031
 
< 0.1%
74.630312671
 
< 0.1%
74.614973391
 
< 0.1%
74.677811881
 
< 0.1%
74.700986781
 
< 0.1%
74.638504111
 
< 0.1%
74.480175851
 
< 0.1%
74.360010621
 
< 0.1%
Other values (2404)2404
99.6%
ValueCountFrequency (%)
28.986409871
< 0.1%
29.009892931
< 0.1%
29.01083371
< 0.1%
29.026915391
< 0.1%
29.063092761
< 0.1%
29.079548131
< 0.1%
29.099787661
< 0.1%
29.113922431
< 0.1%
29.148627321
< 0.1%
29.181849841
< 0.1%
ValueCountFrequency (%)
110.50473021
< 0.1%
110.48456821
< 0.1%
110.44889861
< 0.1%
110.14778191
< 0.1%
109.50401991
< 0.1%
108.9391511
< 0.1%
108.21942441
< 0.1%
108.11824781
< 0.1%
108.09014681
< 0.1%
108.02457861
< 0.1%
2026-02-05T23:22:08.936475image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

WMA
Numeric time series

High correlation  Non stationary  Seasonal  Unique 

Distinct2414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.042879
Minimum28.844364
Maximum112.62473
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:22:10.874386image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum28.844364
5-th percentile42.106109
Q151.820182
median73.533636
Q394.199409
95-th percentile104.78594
Maximum112.62473
Range83.780363
Interquartile range (IQR)42.379227

Descriptive statistics

Standard deviation22.075839
Coefficient of variation (CV)0.30223123
Kurtosis-1.4051235
Mean73.042879
Median Absolute Deviation (MAD)21.167909
Skewness-0.027874269
Sum176325.51
Variance487.34266
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5520911707
2026-02-05T23:22:11.003851image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:22:11.519395image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 10 minutes
std8 hours, 16 minutes and 22.04 seconds
2026-02-05T23:22:12.494099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
76.443636951
 
< 0.1%
75.746181971
 
< 0.1%
75.172727271
 
< 0.1%
74.57218171
 
< 0.1%
74.369818121
 
< 0.1%
74.741455081
 
< 0.1%
75.100182831
 
< 0.1%
74.772364391
 
< 0.1%
74.143455641
 
< 0.1%
73.702728131
 
< 0.1%
Other values (2404)2404
99.6%
ValueCountFrequency (%)
28.844363821
< 0.1%
28.966545451
< 0.1%
29.063636541
< 0.1%
29.091999851
< 0.1%
29.288727531
< 0.1%
29.335818311
< 0.1%
29.509999951
< 0.1%
29.747454381
< 0.1%
29.755272741
< 0.1%
29.836908791
< 0.1%
ValueCountFrequency (%)
112.62472691
< 0.1%
112.51436381
< 0.1%
112.21581851
< 0.1%
112.00345431
< 0.1%
111.62654591
< 0.1%
111.12727311
< 0.1%
110.52781831
< 0.1%
109.98672761
< 0.1%
109.7563641
< 0.1%
109.44218251
< 0.1%
2026-02-05T23:22:11.125774image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

MidPrice
Numeric time series

High correlation  Non stationary  Seasonal 

Distinct1493
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.951686
Minimum29.049999
Maximum111.395
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:22:13.211544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum29.049999
5-th percentile42.15475
Q151.869999
median73.43
Q394.233747
95-th percentile104.73
Maximum111.395
Range82.345001
Interquartile range (IQR)42.363749

Descriptive statistics

Standard deviation21.996859
Coefficient of variation (CV)0.3015264
Kurtosis-1.4053274
Mean72.951686
Median Absolute Deviation (MAD)21.189999
Skewness-0.027906684
Sum176105.37
Variance483.86182
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5198540415
2026-02-05T23:22:13.345094image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:22:13.864545image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 10 minutes
std8 hours, 16 minutes and 22.04 seconds
2026-02-05T23:22:14.841111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
88.974998479
 
0.4%
59.325000769
 
0.4%
48.185001378
 
0.3%
73.770000468
 
0.3%
86.635002147
 
0.3%
48.910001757
 
0.3%
94.619998937
 
0.3%
52.780000697
 
0.3%
69.130001077
 
0.3%
41.225000387
 
0.3%
Other values (1483)2338
96.9%
ValueCountFrequency (%)
29.049999241
 
< 0.1%
29.251
 
< 0.1%
29.465001111
 
< 0.1%
29.515000341
 
< 0.1%
29.695000651
 
< 0.1%
29.789999013
0.1%
29.824998863
0.1%
30.114999771
 
< 0.1%
30.225000381
 
< 0.1%
30.265000342
0.1%
ValueCountFrequency (%)
111.39500051
 
< 0.1%
110.16500092
 
0.1%
109.84000021
 
< 0.1%
109.73500061
 
< 0.1%
109.39500053
0.1%
109.38499836
0.2%
108.79000091
 
< 0.1%
108.45000081
 
< 0.1%
108.22499854
0.2%
108.0799981
 
< 0.1%
2026-02-05T23:22:13.468261image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

BOP
Real number (ℝ)

Distinct2387
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.013540679
Minimum-0.96503551
Maximum0.9638981
Zeros6
Zeros (%)0.2%
Negative1171
Negative (%)48.5%
Memory size37.7 KiB
2026-02-05T23:22:15.538783image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-0.96503551
5-th percentile-0.78775329
Q1-0.44326155
median0.024899381
Q30.47277021
95-th percentile0.78439264
Maximum0.9638981
Range1.9289336
Interquartile range (IQR)0.91603175

Descriptive statistics

Standard deviation0.51463507
Coefficient of variation (CV)38.006592
Kurtosis-1.2437821
Mean0.013540679
Median Absolute Deviation (MAD)0.45795709
Skewness-0.042244469
Sum32.6872
Variance0.26484925
MonotonicityNot monotonic
2026-02-05T23:22:15.664958image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
06
 
0.2%
0.33333333333
 
0.1%
-0.14159265152
 
0.1%
-0.030303730892
 
0.1%
-0.19780256632
 
0.1%
-0.10937462752
 
0.1%
-0.45333353682
 
0.1%
0.29104428752
 
0.1%
0.252
 
0.1%
-0.067118286512
 
0.1%
Other values (2377)2389
99.0%
ValueCountFrequency (%)
-0.9650355061
< 0.1%
-0.94478521861
< 0.1%
-0.9339266881
< 0.1%
-0.93137279351
< 0.1%
-0.9302962991
< 0.1%
-0.92452661791
< 0.1%
-0.91018091281
< 0.1%
-0.90860502841
< 0.1%
-0.90785994151
< 0.1%
-0.90711989471
< 0.1%
ValueCountFrequency (%)
0.96389809661
< 0.1%
0.9414768051
< 0.1%
0.93382438191
< 0.1%
0.93119197021
< 0.1%
0.93072187411
< 0.1%
0.93051483471
< 0.1%
0.92899465721
< 0.1%
0.92351367241
< 0.1%
0.92118041461
< 0.1%
0.92105566961
< 0.1%

CMO
Numeric time series

High correlation 

Distinct2411
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.42365991
Minimum-84.250049
Maximum70.748687
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:22:15.815668image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-84.250049
5-th percentile-51.04864
Q1-20.803569
median3.1581614
Q322.645774
95-th percentile44.851702
Maximum70.748687
Range154.99874
Interquartile range (IQR)43.449343

Descriptive statistics

Standard deviation29.493393
Coefficient of variation (CV)69.615728
Kurtosis-0.62318249
Mean0.42365991
Median Absolute Deviation (MAD)21.366279
Skewness-0.25533767
Sum1022.715
Variance869.86022
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value3.810770981 × 10-19
2026-02-05T23:22:15.960964image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:22:16.489077image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 10 minutes
std8 hours, 16 minutes and 22.04 seconds
2026-02-05T23:22:17.481702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
32.411962882
 
0.1%
26.860883652
 
0.1%
-70.164353122
 
0.1%
44.776049771
 
< 0.1%
53.127204541
 
< 0.1%
35.582892421
 
< 0.1%
5.6674274311
 
< 0.1%
2.4642254851
 
< 0.1%
-4.1617955431
 
< 0.1%
-11.948523941
 
< 0.1%
Other values (2401)2401
99.5%
ValueCountFrequency (%)
-84.250049431
< 0.1%
-75.366925531
< 0.1%
-75.295553161
< 0.1%
-74.078478971
< 0.1%
-73.830146791
< 0.1%
-72.838433091
< 0.1%
-72.170229551
< 0.1%
-71.013290811
< 0.1%
-70.164353122
0.1%
-70.014545271
< 0.1%
ValueCountFrequency (%)
70.748686721
< 0.1%
66.854355341
< 0.1%
66.405252121
< 0.1%
66.336344211
< 0.1%
66.257263871
< 0.1%
64.286749231
< 0.1%
62.892409121
< 0.1%
61.903298011
< 0.1%
61.752699621
< 0.1%
61.38212421
< 0.1%
2026-02-05T23:22:16.088271image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

MFI
Numeric time series

High correlation  Unique 

Distinct2414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.459393
Minimum6.4260667
Maximum92.781019
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:22:18.206928image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum6.4260667
5-th percentile22.408461
Q137.81777
median49.945803
Q361.174053
95-th percentile75.58852
Maximum92.781019
Range86.354952
Interquartile range (IQR)23.356283

Descriptive statistics

Standard deviation16.111035
Coefficient of variation (CV)0.32574267
Kurtosis-0.49563704
Mean49.459393
Median Absolute Deviation (MAD)11.801791
Skewness-0.061588832
Sum119394.97
Variance259.56544
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value2.325290359 × 10-13
2026-02-05T23:22:18.342023image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:22:18.698447image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 10 minutes
std8 hours, 16 minutes and 22.04 seconds
2026-02-05T23:22:19.847048image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
23.050243921
 
< 0.1%
13.906030551
 
< 0.1%
7.5637786491
 
< 0.1%
7.5885229311
 
< 0.1%
6.4260666671
 
< 0.1%
15.139663481
 
< 0.1%
24.705433381
 
< 0.1%
23.454574781
 
< 0.1%
21.711122561
 
< 0.1%
27.770552011
 
< 0.1%
Other values (2404)2404
99.6%
ValueCountFrequency (%)
6.4260666671
< 0.1%
7.1776835211
< 0.1%
7.3244300951
< 0.1%
7.5331065311
< 0.1%
7.5637786491
< 0.1%
7.5885229311
< 0.1%
8.4872161821
< 0.1%
9.6835952711
< 0.1%
9.8430221971
< 0.1%
10.052825191
< 0.1%
ValueCountFrequency (%)
92.781019061
< 0.1%
92.269595641
< 0.1%
91.90632521
< 0.1%
90.951770491
< 0.1%
90.717842761
< 0.1%
90.292494381
< 0.1%
88.876316571
< 0.1%
86.414773831
< 0.1%
86.35579031
< 0.1%
85.985264631
< 0.1%
2026-02-05T23:22:18.466595image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ROC
Numeric time series

High correlation  Unique 

Distinct2414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.056540132
Minimum-26.188495
Maximum25.066768
Zeros1
Zeros (%)< 0.1%
Memory size37.7 KiB
2026-02-05T23:22:20.573159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-26.188495
5-th percentile-10.61371
Q1-3.6705227
median0.39853821
Q33.8042549
95-th percentile9.9179934
Maximum25.066768
Range51.255263
Interquartile range (IQR)7.4747776

Descriptive statistics

Standard deviation6.294646
Coefficient of variation (CV)111.33058
Kurtosis0.82038122
Mean0.056540132
Median Absolute Deviation (MAD)3.7108012
Skewness-0.066790932
Sum136.48788
Variance39.622568
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value2.211156324 × 10-11
2026-02-05T23:22:20.708371image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:22:21.061364image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 10 minutes
std8 hours, 16 minutes and 22.04 seconds
2026-02-05T23:22:22.204637image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
-9.46436971
 
< 0.1%
-8.8129752021
 
< 0.1%
-7.5455141511
 
< 0.1%
-8.187429211
 
< 0.1%
-4.5769226861
 
< 0.1%
-2.2652409041
 
< 0.1%
-0.82452894491
 
< 0.1%
-3.8643564281
 
< 0.1%
-4.4942291831
 
< 0.1%
-4.477813781
 
< 0.1%
Other values (2404)2404
99.6%
ValueCountFrequency (%)
-26.188495031
< 0.1%
-22.578889051
< 0.1%
-21.101751591
< 0.1%
-20.572355971
< 0.1%
-20.373525491
< 0.1%
-19.514126221
< 0.1%
-19.00912651
< 0.1%
-18.971014711
< 0.1%
-18.691263671
< 0.1%
-18.64567951
< 0.1%
ValueCountFrequency (%)
25.066768121
< 0.1%
23.113101611
< 0.1%
22.320192781
< 0.1%
21.58191981
< 0.1%
21.240516751
< 0.1%
21.187580661
< 0.1%
20.91245651
< 0.1%
20.473583881
< 0.1%
20.393907491
< 0.1%
20.13597441
< 0.1%
2026-02-05T23:22:20.830018image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

WILLR
Numeric time series

High correlation 

Distinct2410
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-47.47001
Minimum-99.175504
Maximum-0.59403532
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:22:22.936062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-99.175504
5-th percentile-94.778858
Q1-77.910557
median-44.552131
Q3-18.101868
95-th percentile-4.1294975
Maximum-0.59403532
Range98.581469
Interquartile range (IQR)59.80869

Descriptive statistics

Standard deviation31.233563
Coefficient of variation (CV)-0.65796412
Kurtosis-1.4125784
Mean-47.47001
Median Absolute Deviation (MAD)29.323326
Skewness-0.11906614
Sum-114592.6
Variance975.53547
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value2.208488599 × 10-16
2026-02-05T23:22:23.076317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:22:23.439219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 10 minutes
std8 hours, 16 minutes and 22.04 seconds
2026-02-05T23:22:24.592113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
-12.3983912
 
0.1%
-56.136097962
 
0.1%
-91.41913092
 
0.1%
-52.152335242
 
0.1%
-60.889941881
 
< 0.1%
-69.230718261
 
< 0.1%
-81.122397341
 
< 0.1%
-83.371306521
 
< 0.1%
-94.791678391
 
< 0.1%
-63.184947611
 
< 0.1%
Other values (2400)2400
99.4%
ValueCountFrequency (%)
-99.175503981
< 0.1%
-98.931159651
< 0.1%
-98.897642341
< 0.1%
-98.883576841
< 0.1%
-98.823527651
< 0.1%
-98.689967971
< 0.1%
-98.605429141
< 0.1%
-98.548643211
< 0.1%
-98.41090321
< 0.1%
-98.316523981
< 0.1%
ValueCountFrequency (%)
-0.59403532331
< 0.1%
-0.78491751091
< 0.1%
-0.95458505821
< 0.1%
-1.0007645751
< 0.1%
-1.0367634691
< 0.1%
-1.1226342621
< 0.1%
-1.136317661
< 0.1%
-1.1412532131
< 0.1%
-1.2178125211
< 0.1%
-1.2304315471
< 0.1%
2026-02-05T23:22:23.200802image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

AD
Numeric time series

High correlation  Non stationary  Seasonal 

Distinct2409
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20989646
Minimum-378745.32
Maximum42024321
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:22:25.319412image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-378745.32
5-th percentile3899080.2
Q115616080
median20144435
Q324986685
95-th percentile40233505
Maximum42024321
Range42403067
Interquartile range (IQR)9370605.2

Descriptive statistics

Standard deviation9912107.8
Coefficient of variation (CV)0.47223796
Kurtosis-0.26099011
Mean20989646
Median Absolute Deviation (MAD)4761609.5
Skewness0.26150859
Sum5.0669006 × 1010
Variance9.8249881 × 1013
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.7116626164
2026-02-05T23:22:25.456812image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:22:25.818662image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 10 minutes
std8 hours, 16 minutes and 22.04 seconds
2026-02-05T23:22:26.963977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
15436225.062
 
0.1%
18014490.072
 
0.1%
36834620.762
 
0.1%
16976306.492
 
0.1%
24457105.292
 
0.1%
17129372.071
 
< 0.1%
17370862.961
 
< 0.1%
17378193.241
 
< 0.1%
17035905.631
 
< 0.1%
17205434.431
 
< 0.1%
Other values (2399)2399
99.4%
ValueCountFrequency (%)
-378745.32191
< 0.1%
-246463.75031
< 0.1%
-236423.53881
< 0.1%
-192492.54841
< 0.1%
-39361.13461
< 0.1%
13719.767531
< 0.1%
40006.578681
< 0.1%
61869.910741
< 0.1%
98396.925571
< 0.1%
128646.19621
< 0.1%
ValueCountFrequency (%)
42024321.341
< 0.1%
41914665.051
< 0.1%
41863243.41
< 0.1%
41770772.841
< 0.1%
41722133.341
< 0.1%
41703599.71
< 0.1%
41700615.361
< 0.1%
41681480.671
< 0.1%
41673975.351
< 0.1%
41647456.671
< 0.1%
2026-02-05T23:22:25.583212image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

OBV
Numeric time series

High correlation  Non stationary  Seasonal 

Distinct2409
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3566770.1
Minimum-18013429
Maximum38169761
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:22:27.695022image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-18013429
5-th percentile-11346912
Q1-3273442
median394674.5
Q33555471.5
95-th percentile31867942
Maximum38169761
Range56183190
Interquartile range (IQR)6828913.5

Descriptive statistics

Standard deviation12551493
Coefficient of variation (CV)3.5190082
Kurtosis0.63125877
Mean3566770.1
Median Absolute Deviation (MAD)3485607
Skewness1.2261177
Sum8.610183 × 109
Variance1.5753998 × 1014
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9929334006
2026-02-05T23:22:27.835592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:22:28.203656image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 10 minutes
std8 hours, 16 minutes and 22.04 seconds
2026-02-05T23:22:29.373595image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
-18506232
 
0.1%
-29968542
 
0.1%
234401242
 
0.1%
287079802
 
0.1%
82161542
 
0.1%
-105163741
 
< 0.1%
-98669281
 
< 0.1%
-110209871
 
< 0.1%
-102688131
 
< 0.1%
-108387521
 
< 0.1%
Other values (2399)2399
99.4%
ValueCountFrequency (%)
-180134291
< 0.1%
-179902281
< 0.1%
-174115891
< 0.1%
-173382721
< 0.1%
-172892941
< 0.1%
-172174641
< 0.1%
-171860921
< 0.1%
-169507821
< 0.1%
-169194321
< 0.1%
-167682781
< 0.1%
ValueCountFrequency (%)
381697611
< 0.1%
380408901
< 0.1%
378939521
< 0.1%
378647761
< 0.1%
374514681
< 0.1%
374268891
< 0.1%
373862751
< 0.1%
372055181
< 0.1%
371607411
< 0.1%
371541421
< 0.1%
2026-02-05T23:22:27.964739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

NATR
Numeric time series

High correlation  Non stationary  Seasonal  Unique 

Distinct2414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.944499
Minimum1.1250616
Maximum8.4675329
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:22:30.108175image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.1250616
5-th percentile1.5567006
Q12.1657769
median2.6887063
Q33.5171266
95-th percentile5.181549
Maximum8.4675329
Range7.3424713
Interquartile range (IQR)1.3513497

Descriptive statistics

Standard deviation1.1327412
Coefficient of variation (CV)0.38469743
Kurtosis2.1427654
Mean2.944499
Median Absolute Deviation (MAD)0.61364374
Skewness1.272846
Sum7108.0206
Variance1.2831026
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.007167539239
2026-02-05T23:22:30.254734image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:22:30.626266image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 10 minutes
std8 hours, 16 minutes and 22.04 seconds
2026-02-05T23:22:31.782787image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2.6048327131
 
< 0.1%
2.6894948471
 
< 0.1%
2.6497204781
 
< 0.1%
2.7199795671
 
< 0.1%
2.7133557951
 
< 0.1%
2.7065870321
 
< 0.1%
2.6624603191
 
< 0.1%
3.0659700391
 
< 0.1%
3.3704430171
 
< 0.1%
3.2601835231
 
< 0.1%
Other values (2404)2404
99.6%
ValueCountFrequency (%)
1.1250615851
< 0.1%
1.1401127241
< 0.1%
1.1540216811
< 0.1%
1.1650069081
< 0.1%
1.1679474031
< 0.1%
1.1713779551
< 0.1%
1.1721731481
< 0.1%
1.1743342371
< 0.1%
1.1746524081
< 0.1%
1.1756093681
< 0.1%
ValueCountFrequency (%)
8.4675328731
< 0.1%
8.3062247191
< 0.1%
8.2431645741
< 0.1%
8.0736370511
< 0.1%
7.8371079011
< 0.1%
7.7438253541
< 0.1%
7.7040028071
< 0.1%
7.6104261461
< 0.1%
7.6096259521
< 0.1%
7.5619428811
< 0.1%
2026-02-05T23:22:30.385283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ATR
Numeric time series

High correlation  Unique 

Distinct2414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9914863
Minimum0.95446523
Maximum4.1461225
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:22:32.511079image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.95446523
5-th percentile1.1880049
Q11.5718712
median1.9288409
Q32.2865384
95-th percentile3.1428547
Maximum4.1461225
Range3.1916573
Interquartile range (IQR)0.7146672

Descriptive statistics

Standard deviation0.57797884
Coefficient of variation (CV)0.29022486
Kurtosis0.54855856
Mean1.9914863
Median Absolute Deviation (MAD)0.35731978
Skewness0.82667881
Sum4807.448
Variance0.33405955
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.01283002797
2026-02-05T23:22:32.655844image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:22:33.022754image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 10 minutes
std8 hours, 16 minutes and 22.04 seconds
2026-02-05T23:22:34.008382image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.9460704961
 
< 0.1%
1.9813508041
 
< 0.1%
1.9512541441
 
< 0.1%
1.982593091
 
< 0.1%
2.0195507261
 
< 0.1%
2.0902972561
 
< 0.1%
2.0495620431
 
< 0.1%
2.2424504681
 
< 0.1%
2.3994184661
 
< 0.1%
2.3437459151
 
< 0.1%
Other values (2404)2404
99.6%
ValueCountFrequency (%)
0.95446522891
< 0.1%
0.95716391321
< 0.1%
0.97942401051
< 0.1%
0.98156089081
< 0.1%
0.98168733731
< 0.1%
0.98976842281
< 0.1%
1.0039887571
< 0.1%
1.0095095221
< 0.1%
1.0112891411
< 0.1%
1.0147847021
< 0.1%
ValueCountFrequency (%)
4.146122481
< 0.1%
4.1078280611
< 0.1%
4.061978221
< 0.1%
4.011554781
< 0.1%
3.9354218811
< 0.1%
3.9243009331
< 0.1%
3.8470220071
< 0.1%
3.8421772641
< 0.1%
3.8404953461
< 0.1%
3.8371548961
< 0.1%
2026-02-05T23:22:32.784547image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

TRANGE
Real number (ℝ)

High correlation 

Distinct766
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9913132
Minimum0.47999954
Maximum11.129997
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.7 KiB
2026-02-05T23:22:34.697190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.47999954
5-th percentile0.88000107
Q11.3300018
median1.7799988
Q32.420001
95-th percentile3.7035027
Maximum11.129997
Range10.649998
Interquartile range (IQR)1.0899992

Descriptive statistics

Standard deviation0.97637288
Coefficient of variation (CV)0.49031609
Kurtosis8.0992055
Mean1.9913132
Median Absolute Deviation (MAD)0.51999664
Skewness2.0083235
Sum4807.03
Variance0.953304
MonotonicityNot monotonic
2026-02-05T23:22:34.816233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.518
 
0.7%
1.6100006117
 
0.7%
1.7517
 
0.7%
1.93000030514
 
0.6%
1.52999877914
 
0.6%
1.6399993914
 
0.6%
114
 
0.6%
1.45999908413
 
0.5%
1.66999816913
 
0.5%
1.84999847413
 
0.5%
Other values (756)2267
93.9%
ValueCountFrequency (%)
0.47999954221
< 0.1%
0.48999786381
< 0.1%
0.51
< 0.1%
0.52000045782
0.1%
0.55000305181
< 0.1%
0.56999969481
< 0.1%
0.59000015262
0.1%
0.60000228881
< 0.1%
0.61999893191
< 0.1%
0.62999725341
< 0.1%
ValueCountFrequency (%)
11.129997251
< 0.1%
8.2900009161
< 0.1%
81
< 0.1%
7.7900009161
< 0.1%
7.751
< 0.1%
7.6499938961
< 0.1%
7.3400039671
< 0.1%
7.0999984741
< 0.1%
7.0500030521
< 0.1%
6.7099990841
< 0.1%

TSF
Numeric time series

High correlation  Non stationary  Unique 

Distinct2414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.002618
Minimum26.556923
Maximum115.04439
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-05T23:22:34.955559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum26.556923
5-th percentile41.601038
Q152.056126
median72.994451
Q393.94651
95-th percentile105.22134
Maximum115.04439
Range88.487472
Interquartile range (IQR)41.890385

Descriptive statistics

Standard deviation22.241292
Coefficient of variation (CV)0.3046643
Kurtosis-1.3739064
Mean73.002618
Median Absolute Deviation (MAD)20.952143
Skewness-0.016440861
Sum176228.32
Variance494.67506
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5778530104
2026-02-05T23:22:35.284539image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-05T23:22:35.641322image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 10 minutes
std8 hours, 16 minutes and 22.04 seconds
2026-02-05T23:22:36.616422image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
73.579011521
 
< 0.1%
72.785494371
 
< 0.1%
72.205494721
 
< 0.1%
71.724395671
 
< 0.1%
71.967911691
 
< 0.1%
72.973956681
 
< 0.1%
73.825496211
 
< 0.1%
73.622199011
 
< 0.1%
72.823408271
 
< 0.1%
72.628462151
 
< 0.1%
Other values (2404)2404
99.6%
ValueCountFrequency (%)
26.556922891
< 0.1%
26.675714161
< 0.1%
27.112527871
< 0.1%
27.386043931
< 0.1%
27.508570951
< 0.1%
27.530769471
< 0.1%
27.770109641
< 0.1%
27.795824431
< 0.1%
28.042306981
< 0.1%
28.196264331
< 0.1%
ValueCountFrequency (%)
115.04439461
< 0.1%
114.43120851
< 0.1%
114.18791261
< 0.1%
113.29384511
< 0.1%
112.67208841
< 0.1%
111.81538471
< 0.1%
111.36846191
< 0.1%
111.11615331
< 0.1%
111.03461661
< 0.1%
110.76626391
< 0.1%
2026-02-05T23:22:35.406864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

Interactions

2026-02-05T23:21:58.620032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:36.490086image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:37.894910image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:39.135259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:40.381256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:41.835111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:43.238739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:44.501169image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:45.999763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:47.591518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:48.849616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:50.144425image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:51.497951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:52.952596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:54.343702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:55.746449image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:57.290486image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:58.689022image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:36.558315image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:37.962798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:39.204626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:40.464135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:41.902338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:43.307626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:44.584245image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:46.079045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:47.662894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:48.923954image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:50.221514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:51.726929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:53.029210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:54.421623image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:55.822992image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:57.363435image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:58.755672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:36.627861image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:38.029672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:39.270947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:40.543421image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:41.968797image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:43.377616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:44.669461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:46.159064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:47.731246image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:48.994913image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:50.295285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:51.797966image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:53.106237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:54.500438image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:55.899506image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:57.436617image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:58.822840image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:36.695057image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:38.096129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:39.337218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:40.624259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:42.036790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:43.446972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:44.752121image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:46.238774image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:47.798935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:49.066893image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:50.368681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:51.870128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:53.182011image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:54.577517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:56.134171image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:57.511466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:58.904505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:36.776374image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:38.177931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:39.418445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:40.714990image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:42.120867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:43.528039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:44.848812image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:46.330760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:47.881108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:49.151876image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:50.457030image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:51.953686image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:53.271985image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:54.667471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:56.222493image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:57.596442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:58.972345image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:36.843339image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:38.246798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:39.485093image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:40.795186image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:42.345030image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:43.597292image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:44.931550image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:46.409041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:47.949575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:49.223336image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:50.531276image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:52.026352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:53.348805image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:54.746252image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:56.299989image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:57.670905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:59.040934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:36.911462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:38.318002image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:39.556028image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:40.876827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:42.414159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:43.665517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:45.016929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:46.489410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:48.020592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:49.296073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:50.607155image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:52.100400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:53.428663image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:54.824466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:56.376419image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:57.744555image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:59.126232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:36.994575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:38.400809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:39.638833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:40.974227image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:42.498528image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:43.750685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-02-05T23:21:46.582827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:48.104027image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:49.380888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:50.695230image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:52.188650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:53.520224image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:54.917609image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:56.468557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:57.836520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:59.204509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:37.072816image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:38.478582image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:39.717791image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:41.064590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:42.576879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:43.829852image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:45.205670image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:46.670845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:48.183918image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:49.461395image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:50.779461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:52.271057image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:53.608458image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:55.004824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:56.554622image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:57.919242image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:59.274539image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:37.145400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:38.547416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:39.784689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:41.147681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:42.646754image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:43.898855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:45.287501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:46.749114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:48.253674image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:49.533803image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:50.855582image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:52.343123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:53.685275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:55.083460image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:56.631805image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:57.993835image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:59.345489image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:37.216704image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:38.617541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:39.855951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:41.231032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:42.717735image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:43.973953image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:45.373500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:46.832510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:48.325432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:49.604466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:50.931283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:52.417373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:53.764336image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:55.163609image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:56.710499image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:58.068282image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:59.421174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:37.290210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:38.692691image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:39.932442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:41.318506image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:42.791596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:44.049334image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:45.462185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:47.082499image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:48.401938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:49.682087image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:51.011647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:52.494804image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:53.850791image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:55.250859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:56.793248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:58.146024image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:59.492531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:37.362387image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:38.763027image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:40.004125image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:41.402033image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:42.864413image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:44.123534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:45.547590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:47.166550image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:48.474423image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:49.755924image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:51.090282image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:52.568241image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:53.928723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:55.330084image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:56.872308image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:58.222012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:59.568787image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:37.438850image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:38.840434image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:40.082156image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:41.492118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:42.941081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:44.201776image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:45.639874image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:47.253325image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:48.551097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:49.835966image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:51.174390image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:52.646114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:54.012005image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:55.416439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:56.957892image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:58.303722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:59.647544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:37.518477image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:38.917112image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:40.160395image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:41.580454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:43.020012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:44.281198image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:45.733661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:47.341099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:48.630330image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:49.919143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:51.259305image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:52.726161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:54.097780image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:55.500817image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:57.043098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:58.386381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:59.724369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:37.594688image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:38.993002image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:40.237163image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:41.669949image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:43.095956image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:44.357936image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:45.825412image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:47.428438image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:48.707461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:49.997788image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:51.343997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:52.805462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:54.182877image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:55.587092image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:57.129173image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:58.468901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:59.799274image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:37.667942image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:39.066227image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:40.312914image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:41.754367image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:43.170547image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:44.431651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:45.914004image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:47.512465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:48.781589image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:50.073620image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:51.422984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:52.881824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:54.266068image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:55.668497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:57.210462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-05T23:21:58.547054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2026-02-05T23:22:37.300812image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ADATRBOPCMOEMAKAMAMAMFIMidPriceNATROBVROCTRANGETSFWILLRWMAclose
AD1.000-0.4730.013-0.010-0.122-0.119-0.124-0.003-0.121-0.2470.644-0.035-0.298-0.131-0.039-0.124-0.127
ATR-0.4731.000-0.024-0.1500.2830.2810.281-0.0940.2810.498-0.268-0.0600.6540.272-0.0760.2800.277
BOP0.013-0.0241.0000.3880.0070.0030.0020.1620.004-0.0670.0750.291-0.0760.0170.4700.0080.058
CMO-0.010-0.1500.3881.0000.0560.0380.0450.7710.042-0.2400.1610.865-0.2090.1320.9290.0740.140
EMA-0.1220.2830.0070.0561.0000.9981.0000.0330.999-0.6400.3610.0060.1820.9940.0381.0000.995
KAMA-0.1190.2810.0030.0380.9981.0000.9980.0220.998-0.6400.361-0.0110.1840.9910.0180.9980.992
MA-0.1240.2810.0020.0451.0000.9981.0000.0280.999-0.6390.359-0.0060.1830.9930.0250.9990.992
MFI-0.003-0.0940.1620.7710.0330.0220.0281.0000.023-0.1670.1430.720-0.1300.1090.7260.0510.092
MidPrice-0.1210.2810.0040.0420.9990.9980.9990.0231.000-0.6400.358-0.0140.1820.9920.0190.9980.992
NATR-0.2470.498-0.067-0.240-0.640-0.640-0.639-0.167-0.6401.000-0.544-0.1280.348-0.649-0.168-0.643-0.648
OBV0.644-0.2680.0750.1610.3610.3610.3590.1430.358-0.5441.0000.090-0.1760.3620.1350.3620.366
ROC-0.035-0.0600.2910.8650.006-0.011-0.0060.720-0.014-0.1280.0901.000-0.1260.0880.8720.0240.084
TRANGE-0.2980.654-0.076-0.2090.1820.1840.183-0.1300.1820.348-0.176-0.1261.0000.171-0.1620.1790.168
TSF-0.1310.2720.0170.1320.9940.9910.9930.1090.992-0.6490.3620.0880.1711.0000.1090.9970.996
WILLR-0.039-0.0760.4700.9290.0380.0180.0250.7260.019-0.1680.1350.872-0.1620.1091.0000.0530.123
WMA-0.1240.2800.0080.0741.0000.9980.9990.0510.998-0.6430.3620.0240.1790.9970.0531.0000.996
close-0.1270.2770.0580.1400.9950.9920.9920.0920.992-0.6480.3660.0840.1680.9960.1230.9961.000

Missing values

2026-02-05T23:21:59.925518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2026-02-05T23:22:00.061505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Datecloserepaired?MAEMAKAMAWMAMidPriceBOPCMOMFIROCWILLRADOBVNATRATRTRANGETSF
2010-01-262010-01-2674.709999False77.50600177.38547475.94990576.44363778.079998-0.363057-50.44267423.050244-9.464370-91.21421998396.925575-1320283.02.6048331.9460701.57000073.579012
2010-01-272010-01-2773.669998False76.79400076.70993375.44845875.74618276.660000-0.418035-55.95138213.906031-8.812975-90.97347740006.578683-1676462.02.6894951.9813512.43999572.785494
2010-01-282010-01-2873.639999False76.19300076.15176375.08895775.17272776.505001-0.070513-56.1077537.563779-7.545514-91.23895313719.767531-1969373.02.6497201.9512541.55999872.205495
2010-01-292010-01-2972.889999False75.54300075.55871574.63031374.57218275.869999-0.418410-60.0476287.588523-8.187429-96.006951-192492.548422-2304643.02.7199801.9825932.38999971.724396
2010-02-012010-02-0174.430000False75.18600075.35349474.61497374.36981875.7900010.636002-32.8425986.426067-4.576923-79.818357-39361.134604-2027232.02.7133562.0195512.50000071.967912
2010-02-022010-02-0277.230003False75.00700175.69467874.67781274.74145575.7300000.7607971.11432715.139663-2.265241-41.747521283101.563080-1660963.02.7065872.0902973.01000272.973957
2010-02-032010-02-0376.980003False74.94300175.92837374.70098775.10018375.395000-0.006575-1.38640324.705433-0.824529-42.622915128646.196177-2052257.02.6624602.0495621.52000473.825496
2010-02-042010-02-0473.139999False74.64900175.42139674.63850474.77236475.230000-0.831578-30.65578223.454575-3.864356-89.550054-236423.538763-2576149.03.0659702.2424504.75000073.622199
2010-02-052010-02-0571.190002False74.31400174.65205274.48017674.14345673.770000-0.416666-40.60298721.711123-4.494229-82.487024-378745.321896-3172291.03.3704432.3994184.44000272.823408
2010-02-082010-02-0871.889999False73.97700074.14986174.36001173.70272873.770000-0.179013-32.99373927.770552-4.477814-74.921304-246463.750290-2826653.03.2601842.3437461.62000372.628462
Datecloserepaired?MAEMAKAMAWMAMidPriceBOPCMOMFIROCWILLRADOBVNATRATRTRANGETSF
2019-08-162019-08-1654.869999False54.30500054.92281256.12364354.68963653.9950010.092197-3.79430651.674289-1.419333-47.5903753.946580e+0737091947.03.7745882.0711171.41000053.965384
2019-08-192019-08-1956.209999False54.45700055.15684656.12510255.03600053.9950010.7961787.19337849.2356432.779302-31.4457933.955044e+0737205518.03.6209262.0353231.57000054.870768
2019-08-202019-08-2056.340000False54.72800055.37196556.13282455.37836353.9950010.1818198.24046749.3474265.053140-22.0883703.994999e+0737864776.03.5218821.9842281.32000055.967142
2019-08-212019-08-2155.680000False55.18700055.42797256.08875855.55145454.705000-0.2341761.76379158.2981108.984146-25.7554063.936181e+0737160741.03.5117721.9553551.58000256.134725
2019-08-222019-08-2255.349998False55.46800055.41379556.04869355.58109054.920000-0.366460-1.51024550.6616785.348301-30.5036333.912631e+0736539168.03.4881421.9306871.61000156.451648
2019-08-232019-08-2354.169998False55.43499955.18765056.03481455.34509055.355001-0.500001-12.67278750.799555-0.605508-47.4820533.895530e+0735732017.03.6207341.9613522.35999756.271098
2019-08-262019-08-2653.639999False55.30599954.90625955.98277155.01872755.2150000.169565-17.34773850.832291-2.348445-55.1079343.867779e+0735052995.03.7016051.9855412.29999955.769889
2019-08-272019-08-2754.930000False55.08900054.91057555.93254554.95036355.0450000.576355-2.50705760.349765-3.800347-45.9312793.881004e+0735649619.03.6269581.9922882.08000255.190329
2019-08-282019-08-2855.779999False55.14399955.06865255.93073755.07599955.0450000.0496456.17977160.3204360.995834-33.1372883.855668e+0736323667.03.5496271.9799821.82000054.981977
2019-08-292019-08-2956.709999False55.36799955.36707955.97602155.36072755.0450000.56849214.94255860.0061934.112351-16.8514813.903190e+0736954427.03.4259211.9428401.45999955.277142